Sakriya Nepal
McKinney
Summary
Results-driven Solution Architect and Product Management Professional with over 8 years of experience leading enterprise-scale data integration, observability, and system modernization initiatives. Proven expertise in Splunk architecture, log analytics, and data visualization to drive real-time operational intelligence and strategic decision-making. Adept at bridging technical and business teams to translate complex system requirements into scalable, data-driven solutions. Experienced in designing and implementing end-to-end pipelines using Kafka, APIs, and Splunk for log ingestion, monitoring, and executive dashboards in financial and healthcare domains. Skilled in defining product roadmaps, managing Agile backlogs, and executing release cycles that enhance platform reliability, performance, and user experience. Strong background in ISO 20022 migrations, data governance, audit compliance, and performance monitoring, with a track record of reducing incident resolution time and improving data quality. Recognized for driving cross-functional collaboration and delivering measurable outcomes through automation, observability, and intelligent visualization frameworks.
Overview
9
9
years of professional experience
Work History
IT Product Systems Analyst/Manager
Brillio / Silicon Valley Bank
12.2021 - Current
- Designed and implemented an enterprise observability framework across payment services (ACH, Wires, Bill Pay) to centralize logs and events in Splunk for performance tracking, incident triage, and compliance reporting.
- Defined Splunk data onboarding strategies integrating API logs, application telemetry, Kafka event streams, and system metrics from 40+ distributed services.
- Developed custom SPL queries, correlation searches, and dashboards for proactive monitoring of payment failures, response times, and integration errors.
- Established data ingestion pipelines (Kafka → Splunk → Power BI/Tableau) enabling real-time visibility and self-service analytics for engineering and business stakeholders.
- Partnered with Product, SRE, and DevOps teams to build metrics-driven workflows for capacity planning, performance optimization, and SLA compliance.
- Served as the Product Manager for observability, owning roadmap, backlog prioritization, and feature delivery lifecycle for Splunk and monitoring enhancements.
- Created alerting and anomaly detection rules in Splunk to identify deviations in transaction volumes and error rates, reducing false positives and mean time to resolution.
- Led root-cause analysis (RCA) investigations, mapping log events to APIs and integration layers to pinpoint system bottlenecks and defects.
- Defined and enforced data contracts, mapping specifications, and schema validation rules ensuring consistency and traceability across payments microservices.
- Oversaw ISO 20022 MX/MT migration monitoring, building Splunk dashboards to validate message transformation accuracy and downstream reconciliation results.
- Integrated Splunk with ServiceNow to automate incident creation, alert routing, and resolution tracking, improving operational efficiency across support tiers.
- Delivered executive Power BI dashboards combining Splunk metrics with financial data to track payment processing efficiency, customer migration success, and SLA adherence.
- Managed cross-functional stakeholder alignment between Payments, Risk, Compliance, and Enterprise Architecture teams for data-driven system improvement initiatives.
- Built and maintained knowledge repositories, SOPs, and visual architecture diagrams to standardize observability practices across engineering squads.
- Championed predictive analytics by leveraging Splunk Machine Learning Toolkit for trend detection and early failure prediction.
- Collaborated with auditors and compliance officers to ensure FFIEC, SOX, and PCI-DSS observability controls were met through Splunk dashboards and audit logs.
- Defined and tracked KPIs and OKRs for observability success—reducing incident response time, improving API uptime, and enhancing data accuracy.
- Streamlined log parsing and normalization processes to enhance query performance and reduce Splunk indexing cost.
- Partnered with Data Engineering teams to ensure consistent data lineage from transaction origination through downstream reporting and reconciliation systems.
- Mentored analysts on SPL, dashboard development, and log correlation best practices, creating reusable templates and queries for enterprise use.
- Drove continuous improvement workshops with stakeholders to evolve observability maturity, prioritize automation, and enhance data quality.
- Supported post-deployment validation for critical payment releases using Splunk visualizations to ensure end-to-end data consistency.
- Acted as the bridge between technical and business teams, translating monitoring insights into actionable recommendations for leadership and product teams.
- Enabled data-driven decision-making through executive dashboards merging Splunk observability metrics with customer impact analytics.
Data Integration Architect / Sr. Business Analyst – Data Hub & Observability
Tek-Systems / Cardinal Health
01.2020 - 09.2021
- Led architecture and delivery of enterprise Data Hub integrations supporting claims, billing, inventory, and regulatory systems while enabling observability through Splunk dashboards and alerts.
- Designed and managed data ingestion frameworks integrating APIs, HL7 feeds, Kafka streams, and flat files to ensure accurate, secure, and real-time data availability across systems.
- Collaborated with engineering, QA, and operations teams to establish Splunk monitoring for inbound and outbound file transmissions, improving failure detection and recovery efficiency.
- Defined and enforced data contracts, transformation logic, and validation rules ensuring seamless interoperability and integrity across diverse healthcare applications.
- Created and maintained SPL-based dashboards to visualize system performance, ETL job status, and integration latency, improving transparency across IT and business functions.
- Partnered with Product Managers and Data Governance teams to define KPIs, quality metrics, and business rules for integration performance and compliance reporting.
- Authored system design documents, interface control specifications, and mapping matrices for API-based and batch integrations feeding analytical and regulatory platforms.
- Spearheaded initiatives to enhance data reconciliation and automate error-handling workflows, reducing manual intervention by 40%.
- Enabled compliance with HIPAA, SOX, and internal audit requirements by architecting traceable and secure data flows logged through Splunk and other observability tools.
- Conducted end-to-end root-cause analysis (RCA) using Splunk logs and SQL profiling to identify integration defects and performance bottlenecks.
- Provided architectural oversight during multiple platform upgrades and migration cycles, ensuring smooth transitions without data loss or service downtime.
- Partnered with leadership to define product roadmaps for the data hub platform, prioritizing enhancements that improved throughput, reliability, and audit readiness.
- Collaborated with business stakeholders to translate operational needs into user stories, acceptance criteria, and technical specifications for development teams.
- Delivered Power BI dashboards consuming Splunk log metrics and ETL data to provide real-time visibility into integration throughput and SLA compliance.
- Coordinated across multiple vendor and internal teams to align technical solutions with strategic healthcare initiatives and modernization goals.
- Mentored junior analysts on Splunk SPL, API payload validation, and data flow troubleshooting, fostering technical excellence across the integration team.
- Supported post-deployment validation and release monitoring by using Splunk searches to confirm data delivery, field mapping, and transformation accuracy.
- Contributed to enterprise observability standards, helping establish uniform logging conventions, alert thresholds, and data lineage documentation.
- Played a key role in integrating healthcare domain systems with reporting and analytics platforms, enabling end-to-end visibility for operations, compliance, and finance units.
Systems Analyst
GDIT / Oregon Health and Science University
05.2017 - 11.2019
- Analyzed and translated complex business requirements into functional system design documents, leveraging knowledge of applications, integrations, and interfaces to recommend effective solutions for Unemployment Insurance modernization projects.
- Conducted GAP analyses and process mapping using ICD-10, ANSI, HL7, FHIR, and MITA standards for Medicare, Medicaid, and Unemployment Insurance systems, utilizing SQL for data validation and analysis. Managed and tracked defects, incidents, and change requests under the ITIL framework, ensuring effective resolution, documentation, and knowledge transfer for production support.
- Designed and executed comprehensive testing strategies—including test plans, scripts, and defect tracking in HP ALM—ensuring alignment with BRD, TRD, and UAT deliverables for compliance-driven healthcare and Unemployment Insurance modernization projects.
- Partnered with Product Owners and stakeholders to prioritize backlog items, refine user stories, and define acceptance criteria in Agile environments, ensuring delivery of high-value features.
- Collaborated with claims, configuration, and billing teams to resolve provider and member issues, ensuring adherence to Medicare/Medicaid fee schedules, credentialing, and ICD-10 compliance requirements.
- Supported HL7 message testing and EDI transaction validation (837, 835, 834, 270/271) across Claims, Eligibility, and Payment systems, ensuring accuracy and data integrity throughout the integration process.
- Facilitated JAD workshops, stakeholder interviews, and surveys to gather requirements, while preparing BRDs, FSDs, RTMs, and UML diagrams in MS Visio to support EMR, Medicaid, and Unemployment Insurance system implementations.
- Reviewed and enhanced UI/UX wireframes and prototypes to ensure intuitive system designs aligned with business needs, collaborating with developers to translate requirements into scalable technical solutions.
- Conducted API testing using POSTMAN for RESTful services, validating request/response payloads and ensuring system interoperability across modules and third-party integrations. Assisted in system configuration, use case development, and report specification design, understanding cross-system dependencies to minimize integration risks.
- Supported training, release readiness, and post-production validation by preparing user documentation, test results, and process enhancement recommendations to improve system functionality and adoption.
Education
Master of Science - Data Science
University of Cumberlands
Williamsburg, KentuckyBachelor of Science - Information Technology
Marymount University
Arlington, Virginia, VASkills
- Splunk Architecture & Administration: Expertise in data ingestion, SPL query optimization, log correlation, and dashboard design for operational monitoring and business analytics
- Observability & Monitoring: Designing end-to-end observability frameworks leveraging Splunk, Kafka, and REST APIs to monitor performance, latency, and integration health across platforms
- Product Lifecycle Management: Skilled in defining vision, roadmap, and release strategies; managing Agile backlogs; and prioritizing enhancements aligned with business goals
- Data Integration & Pipelines: Proficient in developing scalable data ingestion flows using APIs, Kafka, ETL, and microservices architecture to unify structured and unstructured data
- Data Visualization & Analytics: Experienced in translating log data into actionable insights using Power BI, Tableau, and Splunk Dashboards for executive and operational reporting
- System Architecture & Design: Strong understanding of distributed systems, API gateways, schema mapping, data contracts, and lineage frameworks supporting SOX/FFIEC compliance
- Incident & Root Cause Analysis (RCA): Leveraging Splunk and advanced analytics to identify defects, trace data flow, and drive continuous improvement in system reliability
- Stakeholder & Cross-Functional Leadership: Proven ability to align business, DevOps, and engineering teams to deliver high-impact observability and data-driven transformation initiatives
- Agile & DevOps Practices: Experienced in sprint planning, backlog grooming, CI/CD coordination, and release management in hybrid cloud environments
- Regulatory & Compliance Expertise: Deep understanding of ISO 20022, SOX, HIPAA, and FFIEC frameworks ensuring secure and compliant system implementations
Healthcare Domain Highlights
- Clinical Data Integration: Designed and supported integration pipelines across EHR, billing, and claims systems, ensuring accurate data ingestion into Splunk and downstream analytics environments.
- Regulatory Compliance & Security: Implemented HIPAA-compliant data workflows and audit-ready monitoring dashboards to ensure patient data privacy, access control, and traceability.
- Observability in Health Systems: Developed Splunk dashboards to monitor data exchange across HL7, FHIR, and API interfaces—detecting failures and improving visibility into system health.
- Operational Intelligence: Leveraged Splunk’s analytics and alerting to track real-time processing metrics for patient records, claims submissions, and lab system integrations.
- Data Quality & Governance: Defined validation rules and data contracts to standardize inbound/outbound data streams, improving accuracy and compliance across clinical and administrative applications.
- Product Management in Healthcare IT: Partnered with business and IT stakeholders to define product roadmaps, user stories, and success metrics for analytics and observability initiatives in clinical systems.
- Reporting & Visualization: Delivered Power BI and Splunk dashboards for hospital operations, research compliance, and billing efficiency—enabling leadership to make evidence-based decisions.
- Cross-Functional Collaboration: Worked with data engineers, analysts, and compliance officers to align architecture designs with regulatory standards and operational KPIs.
Banking Domain Highlights
- Enterprise Payments Modernization: Designed and supported large-scale payment transformations across ACH, Wires, and Bill Pay systems, integrating multiple legacy and cloud-native platforms.
- Splunk Observability Framework: Built real-time monitoring and analytics capabilities for transaction processing, leveraging Splunk dashboards, alerts, and SPL queries to track latency, errors, and throughput.
- ISO 20022 Migration Oversight: Developed Splunk-based validation dashboards for MX/MT message transformations ensuring accurate mapping, reconciliation, and compliance across systems.
- Data Ingestion & Event Streaming: Architected Kafka-based data pipelines to capture, normalize, and feed high-volume payment events into Splunk and Power BI for cross-domain visibility.
- Regulatory & Audit Compliance: Ensured FFIEC, SOX, and PCI-DSS standards were met by implementing auditable log trails, data lineage tracking, and compliance reporting dashboards.
- Product Ownership & Roadmapping: Defined product vision, roadmap, and release strategies for observability tools and data visualization features supporting payment services.
- Executive Dashboards & Visualization: Delivered end-to-end visibility for payment operations and KPIs through integrated Power BI and Splunk dashboards tailored for senior leadership.
- Incident Response & RCA: Automated alerting and RCA processes through Splunk and ServiceNow integrations, improving operational efficiency and reducing MTTR.
- Data Contracts & Quality Governance: Established mapping standards, schema validation, and reconciliation logic to maintain data consistency across inbound/outbound payment systems.
- Cross-Functional Collaboration: Partnered with Risk, Compliance, Enterprise Architecture, and DevOps teams to align observability and data analytics strategies with business objectives.
- Operational Excellence: Leveraged Splunk analytics to proactively detect anomalies in payment patterns, enabling early detection of systemic issues and improved service reliability.
- Digital Transformation Enablement: Played a key role in transitioning payment services to a modern, API-driven architecture integrated with centralized monitoring and visualization systems.
Timeline
IT Product Systems Analyst/Manager
Brillio / Silicon Valley Bank
12.2021 - Current
Data Integration Architect / Sr. Business Analyst – Data Hub & Observability
Tek-Systems / Cardinal Health
01.2020 - 09.2021
Systems Analyst
GDIT / Oregon Health and Science University
05.2017 - 11.2019
Master of Science - Data Science
University of Cumberlands
Bachelor of Science - Information Technology
Marymount University